Senior Data Engineer

Datatech Analytics; Greater London; Hybrid; GBP 70,000 - 80,000; Full time

Job summary

An innovative AI SaaS company is seeking a Senior Data Engineer to build and maintain scalable data and machine learning pipelines. The role involves working closely with product, engineering, and data science teams to implement robust data transformations and modeling. Ideal candidates will have strong hands-on experience with Python and PySpark, solid SQL skills, and a passion for engineering excellence. This position offers hybrid working in London, with a competitive salary ranging from £70,000 to £80,000 depending on experience.

Qualifications

• Strong hands-on experience with Python and PySpark, particularly for complex data modelling and transformation.
• Strong SQL skills with experience in building complex queries.

Responsibilities

• Building, shaping, and owning cloud-native data and machine learning pipelines end to end.
• Designing and implementing robust data transformations and modelling logic using Python, PySpark and SQL.
• Developing scalable data structures that support analytics, ML, and downstream product use cases.
• Strengthening CI/CD pipelines, deployments, monitoring, and overall platform reliability.
• Partnering closely with product, engineering, and data science teams.
• Helping define engineering standards and reusable patterns.

Skills

Python

PySpark

SQL

Job description

Senior Data Engineer – (ML and AI Platform Engineering)

Location: London hybrid working Monday to Wednesday in the office

Salary: £70,000 to £80,000 depending on experience

Ref: J13026

We are working with an AI first SaaS business that transforms complex first‑party data into trusted, decision‑ready insight at scale.

The company is scaling thoughtfully and investing heavily in its data and AI platform. You will join an engineering team where quality, ownership, and collaboration matter, and where you will be heard, supported, and given real space to grow. This role will suit someone who enjoys building production‑grade data and ML pipelines, and who takes pride in strong modelling,.der transformation, and engineering standards.

What you will be doing

• Building, shaping, and owning cloud‑native data and machine learning pipelines end to end
• Designing and implementing robust data transformations and modelling logic using Python, PySpark and SQL
• Developing scalable data structures that support analytics, ML, and downstream product use cases
• Strengthening CI/CD pipelines, deployments, monitoring, and overall platform reliability
• Partnering closely with product, engineering, and data science teams to deliver production outcomes rather than experiments
• Helping define engineering standards, reusable patterns, and ways of working as the data and AI platform evolves

What you will bring

• Strong hands‑on experience with Python and PySpark, particularly for complex data modelling and transformation
• Strong SQL skills with experience building and optim ಹುಡುಗಿಯನ್ನ Modell…